Text Offensiveness Detector API

API ID 2797

"Text Offensiveness Detector API: Safeguard digital spaces by swiftly detecting and filtering offensive content, ensuring respectful and inclusive communication."

100% uptime 580 ms avg response

API Documentation

Endpoints

Request

To use this endpoint you must specify a word or text in the parameter.

Endpoint ID: 2903
GET https://pr213-testing.zylalabs.com/api/2797/text+offensiveness+detector+api/2903/detect+text
INPUT PARAMETERS

Detect text — Endpoint Features

Object Description

Free test requests remaining: 3 of 3.


INPUT PARAMETERS

user_content
API EXAMPLE RESPONSE
JSON
["Offensive text"]
Detect text — CODE SNIPPETS

curl --location --request GET 'https://pr213-testing.zylalabs.com/api/2797/text+offensiveness+detector+api/2903/detect+text' --header 'Authorization: Bearer YOUR_API_KEY' 


    

API Access Key & Authentication

After signing up, every developer is assigned a personal API access key, a unique combination of letters and digits provided to access to our API endpoint. To authenticate with the Text Offensiveness Detector API simply include your bearer token in the Authorization header.

Headers
Header Description
Authorization Required Should be Bearer access_key. See "Your API Access Key" above when you are subscribed.

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Minimum annual contract: USD 10,000

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Overview

About the API:  

In the age of digital communication, the exchange of text-based content is a fundamental part of our daily interactions. While this medium has undoubtedly improved communication and connectivity, it has also exposed users to the possibility of offensive, harmful or inappropriate content. The Text Offensiveness Detector API emerges as a critical tool to address this problem by enabling real-time evaluation and filtering of text content to create safe and inclusive digital spaces.

Text Offensiveness Detector API is a powerful software service designed to analyze text data and determine the presence of offensive or inappropriate content. It uses advanced natural language processing (NLP) techniques and machine learning algorithms to evaluate the offensive potential of a text, providing a rating or score that helps organizations and individuals maintain a respectful and safe digital environment.

In essence, this API provides real-time content assessment, enabling immediate identification of offensive or harmful language. Whether in chat applications, social media platforms or content moderation systems, the API serves as an effective filter to ensure that offensive content is flagged and addressed promptly.

The Offensive Text Detector API plays a critical role in fostering safe and inclusive digital environments. By employing advanced natural language processing and machine learning, it equips organizations and individuals with the tools to proactively detect and address offensive content in real time. In a digital landscape where respectful and safe interactions are paramount, this API is a crucial asset for social media platforms, chat applications, content providers and many more. By addressing the ethical dimensions of data privacy and bias mitigation, it stands as a powerful advocate for digital security and inclusion.

 

What this API receives and what your API provides (input/output)?

This API will help you with the immediate detection of offensive words.

 

What are the most common uses cases of this API?

  1. Social media monitoring: Automatically filter and remove offensive language and content from users' social media posts and comments.

  2. Chat and messaging security: Ensure a safe and courteous environment in chat rooms and messaging applications by detecting and filtering offensive language in real time.

  3. Comment control: Streamline moderation of user-generated comments on websites, blogs and forums to prevent the posting of offensive or harmful content.

  4. Brand image protection: Protect your brand's reputation by monitoring and addressing offensive content or mentions of your products or services on the Internet.

  5. Gaming community integrity: Keep online gaming communities free of offensive language and behavior, improving the overall gaming experience.

Are there any limitations to your plans?

Besides the number of API calls available for the plan, there are no other limitations.

Text Offensiveness Detector API FAQs

The Text Offensiveness Detector API is an application programming interface designed to analyze and categorize text content to determine if it contains offensive or inappropriate language.

There are different plans suits everyone including a free trial for small amount of requests, but it’s rate is limit to prevent abuse of the service.

Zyla provides a wide range of integration methods for almost all programming languages. You can use these codes to integrate with your project as you need.

To use this API you must specify a word or text.

The Detect text endpoint returns an array of strings indicating whether the input text contains offensive language. For example, a response might be ["Offensive text"] if the content is deemed inappropriate.

The Detect text endpoint requires a single parameter: the text or word you want to analyze for offensiveness. Ensure the input is properly formatted as a string.

The response data is structured as a JSON array containing strings. Each string represents the assessment of the input text, indicating if it is offensive or not.

The primary field in the response is a string that indicates the presence of offensive content. If the text is offensive, it will return a message like "Offensive text"; otherwise, it may return an empty array.

The API employs advanced natural language processing and machine learning algorithms to analyze text. Continuous training on diverse datasets helps improve accuracy and reduce bias in detecting offensive language.

Common use cases include moderating social media posts, ensuring safe chat environments, filtering comments on blogs, protecting brand reputation, and maintaining integrity in online gaming communities.

Users can customize their requests by varying the input text they provide to the Detect text endpoint. This allows for targeted analysis of specific phrases or words relevant to their context.

If the response is empty, it indicates that the input text does not contain offensive language. Users should verify their input for accuracy and consider testing with different phrases to assess the API's functionality.

General FAQs

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